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anima-mix-turbo-xl
anima-mix-turbo-xl

anima-mix-turbo-xl

10 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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Output
https://files.tungsten.run/uploads/8e86934deba44ddd9fe500aa8db0df31/00000-2473493901.webp
https://files.tungsten.run/uploads/d81be25e55154cf38178b8b39e92bbb9/00001-2473493902.webp
https://files.tungsten.run/uploads/ef98acd75b6843b48f581d87c44bc5b7/00002-2473493903.webp
This example was created by evevalentine2017
Finished in 38.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: chinese ink painting, super huge dragon, solo, very detailed, guard tower, clouds and mist, green screen color mane, lime green scales Full negative prompt: Asymmetrical face, (kid:1.4), (child:1.4), underrage, (blurry:1.4), 3D, worst quality, low quality, normal quality, (saturation), text, word, long neck 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:03<00:21, 3.12s/it] 25%|██▌ | 2/8 [00:07<00:23, 3.87s/it] 38%|███▊ | 3/8 [00:11<00:20, 4.08s/it] 50%|█████ | 4/8 [00:16<00:16, 4.13s/it] 62%|██████▎ | 5/8 [00:19<00:12, 4.05s/it] 75%|███████▌ | 6/8 [00:23<00:07, 3.99s/it] 88%|████████▊ | 7/8 [00:26<00:03, 3.57s/it] 100%|██████████| 8/8 [00:27<00:00, 2.75s/it] 100%|██████████| 8/8 [00:27<00:00, 3.44s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 163.6ms Speed: 5.4ms preprocess, 163.6ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 9.0ms Speed: 2.4ms preprocess, 9.0ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/8e86934deba44ddd9fe500aa8db0df31/00000-2473493901.webp
https://files.tungsten.run/uploads/d81be25e55154cf38178b8b39e92bbb9/00001-2473493902.webp
https://files.tungsten.run/uploads/ef98acd75b6843b48f581d87c44bc5b7/00002-2473493903.webp
This example was created by evevalentine2017
Finished in 38.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: chinese ink painting, super huge dragon, solo, very detailed, guard tower, clouds and mist, green screen color mane, lime green scales Full negative prompt: Asymmetrical face, (kid:1.4), (child:1.4), underrage, (blurry:1.4), 3D, worst quality, low quality, normal quality, (saturation), text, word, long neck 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:03<00:21, 3.12s/it] 25%|██▌ | 2/8 [00:07<00:23, 3.87s/it] 38%|███▊ | 3/8 [00:11<00:20, 4.08s/it] 50%|█████ | 4/8 [00:16<00:16, 4.13s/it] 62%|██████▎ | 5/8 [00:19<00:12, 4.05s/it] 75%|███████▌ | 6/8 [00:23<00:07, 3.99s/it] 88%|████████▊ | 7/8 [00:26<00:03, 3.57s/it] 100%|██████████| 8/8 [00:27<00:00, 2.75s/it] 100%|██████████| 8/8 [00:27<00:00, 3.44s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 163.6ms Speed: 5.4ms preprocess, 163.6ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 9.0ms Speed: 2.4ms preprocess, 9.0ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.